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Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
…so, we have the perfect opportunity for you! As a Senior Data Engineer, you will ensure scalable and efficient data systems by addressing global operational demands, maintaining high data…
Added 4 months ago
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Staff Engineer Characterization
Infineon
Ottawa, ON
- Full-time
As a Staff Engineer Characterization in our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology,…
Added 5 months ago
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DevOps Engineer
Monark
Surrey, British Columbia · White Rock, British Columbia
- Full-time
We are hiring a DevOps Engineer to design, build, and maintain the infrastructure that powers our products. You will partner closely with engineering teams to deliver reliable, secure, and…
Added 5 months ago
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Mixed Signal Design Engineer
Ciena
Ottawa, Ontario
- $90,600 to $144,800 CAD / year
- Full-time
Familiarity with SystemVerilog, VerilogAMS, VerilogA, Matlab/Simulink, C/C++, Python languages
Added 5 months ago
ST
Structural Dynamics Engineer
Sapsol Technologies Inc
Montreal, Quebec
- Contract
Advanced programming skills in MATLAB, Python, Fortran, or C/C++.
Added 5 months ago
ST
Aircraft Loads Engineer
Sapsol Technologies Inc
Montreal, Quebec
- Contract
Mastery of programming and scientific computing using C++, Fortran, MATLAB, and Python, including version control (Git). - Strong familiarity with finite element analysis systems,…
Added 5 months ago
ST
Aircraft Structural Dynamics
Sapsol Technologies Inc
Remote, Canada
- Contract
- Remote
You have experience programming in Matlab, Python, Fortran, or C/C++
Added 5 months ago
ST
Aircraft Loads
Sapsol Technologies Inc
Remote, Canada
- Contract
- Remote
strong programming skills: C++, Fortran, MATLAB, and Python
Added 5 months ago
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Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
As a Senior Data Engineer, you will own Nimble's data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 5 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
Helcim is searching for a Senior Data Platform Engineer to help lead the design, development, and ongoing evolution of the data platform that powers Helcim’s mission to become the world’s…
Added 5 months ago
M
Registry Services Engineer
MinuteBox
Vaughan, Ontario · Toronto, Ontario
- Full-time
You will play a pivotal role in the customer journey as a Registry Services Engineer. In this role, you will own the technical backbone of our searches & filings product - the integrations,…
Added 5 months ago
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Nuclear Engineer (Neutronics Specialist)
CSMC
Woolwich, Ontario · Waterloo, Ontario
- Full-time
…mission critical deep tech systems. We are hiring a Nuclear Engineer with strong neutronics and reactor physics expertise to join our reactor design team and help build the physics…
Added 5 months ago
CN
Development Engineer
Canadian Natural
Calgary, Alberta
- Full-time
Make your mark while you grow your career! As a Development Engineer at Canadian Natural, you will play a key role in optimizing thermal production using SAGD, steam flood, and CSS…
Added 5 months ago
R
Senior Sales Engineer
Revelate
Montreal, Quebec
- Full-time
Most Sales Engineer roles are about running demos and answering RFPs. This one is about building lasting customer relationships that mature with the product. Our customers are sophisticated…
Added 5 months ago
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Staff Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $146,200 to $258,000 CAD / year
- Full-time
- Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 5 months ago
S
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
- $119,000 to $210,000 CAD / year
- Full-time
- Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 5 months ago
Data Engineer
Glint Tech Solutions LLC
Toronto, Ontario
We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with…
Added 5 months ago
AF
Automation, Controls & IIoT Engineer
Armstrong Fluid Technology
Toronto, Ontario
- Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 2 months ago
Private Cloud Engineer
Scotiabank
Toronto, ON
It is nice if you have hands-on technical working experience with Scripting (VMware PowerCLI, Backup automation, REST API scripting, PowerShell & Python
Added 2 months ago
Software Engineer (Java)
Scotiabank
Toronto, Ontario
Prime Services Technology is searching for a Software Engineer for Prime Services Data Interface (PSDI) platform – a central operational data store and data warehouse for Prime Services…
Added 5 months ago
Thermal Reservoir Engineer
Canadian Natural
Calgary, Alberta
Make your mark while you grow your career! As a Thermal Reservoir Engineer working for the Jackfish or Kirby areas, you have an opportunity to be a key player in a dynamic, collaborative…
Added 5 months ago
HT
Co-op Software Engineer - AI System & Infrastructure
Huawei Technologies Canada Co., Ltd.
Burnaby, British Columbia · Vancouver, BC
- Internship
Huawei Canada has an immediate Co-op opening for an Engineer.
Added 5 months ago
MF
Senior Software Development Engineer in Test
Magnet Forensics
Ottawa, Ontario · Toronto, Ontario · Waterloo, Ontario
- Full-time
We are seeking a highly skilled and experienced Senior Software Development Engineer in Test (SDET) to join our engineering team, supporting the development and deployment of our…
Added 5 months ago
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Principal Data Developer
BlueCat
Toronto, Ontario
- Full-time
We are seeking a highly skilled Data Principal Engineer with strong leadership, communication, and collaboration abilities to join our dynamic team. In this exciting role, you will help us…
Added 3 months ago
AI Solutions Engineer
Connor, Clark & Lunn Private Capital Ltd.
Toronto, Ontario
Interested in joining one of Canada’s top performing asset managers? We are looking for an AI Solutions Engineer for a new full-time position on our Connor, Clark & Lunn Private Capital…

SandboxAQ

Staff Machine Learning Engineer, AI Generation Engine

Remote, Canada

Remote

$146,200 to $258,000 CAD / year · Full-time

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Job details

Pay: $146,200 to $258,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 8+ years of postgraduate experience in software development
Posting language: English
Posted: May 27, 2026

Original job description

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

The AI Generation Engine (SAIGE) team is responsible for rapidly designing, prototyping, and validating AI-first SaaS products that leverage SandboxAQ’s Large Quantitative Models (LQMs) and emerging agentic frameworks. The team operates at high velocity, bridging cutting-edge AI research and production-grade software to unlock new use cases across the company.

SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and model development to scalable production deployment. This role is central to designing and rapidly building AI-first products that incorporate Large Quantitative Models (LQMs) and sophisticated agentic frameworks.

We are looking for a hands-on engineer who is passionate about owning the entire lifecycle of model development. This requires significant industry experience in bringing machine learning models from conception and experimentation to production and deployment in a robust, scalable manner, including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. This person will be one of the founding engineers to join the SAIGE team and will be the bridge between cutting-edge AI concepts and functional, real-world MVPs.

As a Machine Learning Engineer on the SAIGE team, your primary goal will be to rapidly iterate on different potential solutions to build and evaluate new models, focusing on speed and tangible outcomes. You'll be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.

Key Responsibilities

Design, construct, and manage robust data pipelines for the training, validation, and continuous retraining of Large Quantitative Models (LQMs) and agentic frameworks.
Develop, implement, and rigorously test novel ML models and algorithms, defining appropriate metrics to ensure model performance aligns with high-level product objectives.
Lead the effort in cleaning, transforming, and engineering features from complex and large-scale datasets to optimize LQM performance and predictive accuracy.
Conduct deep analysis of model behavior, performance, and failure modes, tuning hyper-parameters and optimizing model architecture for efficiency, speed, and accuracy in a production context.
Collaborate closely with AI researchers, product managers, and SWEs to translate high-level business objectives into actionable ML development and deployment roadmaps.
Champion and enforce exceptional engineering standards for code quality, system efficiency, and security in a prototyping environment
Drive technical execution with high autonomy, making critical design and implementation decisions independently

Essential Skills & Experience

BS in Software Engineering, Computer Science, or equivalent field of study
8+ years of postgraduate experience in software development
Experience developing highly-available, performant, scalable ML systems, including large-scale data processing pipelines.
Strong expertise in Python (including the ML stack: PyTorch, TensorFlow, JAX, NumPy, Pandas)
Long, successful history of driving the full ML lifecycle: from initial data exploration and hypothesis testing to architecture, model training, evaluation, and production deployment.
Deep proficiency in MLOps and software best practices, including CI/CD for ML, experiment tracking (e.g., Weights & Biases, MLflow), automated testing, and version control for both code and datasets.

Highly Desired Skills & Experience

MS or PhD in Software Engineering, Computer Science or equivalent experience
Financial simulation or technical experience, risk simulation
Equivalent experience includes tech leadership in a complex space, driving technical design and execution cross-collaboratively across multiple teams and organizations
Experience with scalable software development on cloud computing platforms (e.g., GCP, AWS)

Why Join Us?

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

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More about this job

Responsibilities

Lead the end-to-end machine learning lifecycle to design and deploy AI-first SaaS products using Large Quantitative Models. This includes building robust data pipelines, developing novel ML algorithms, and collaborating with cross-functional teams to create real-world MVPs.

Requirements

Requires a bachelor's degree in Computer Science or a related field with over 8 years of postgraduate software development experience. Candidates must have deep expertise in the Python ML stack and a proven track record of bringing scalable ML systems into production.

Skills

Python
PyTorch
TensorFlow
JAX
NumPy
Pandas
MLOps
CI/CD for ML
Experiment Tracking
Data Pipeline Design
Model Fine-Tuning
Large Quantitative Models
Agentic Frameworks
Cloud Computing
Feature Engineering
Model Evaluation

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Retirement Savings With Company Matching
Paid Parental Leave
Family-building Benefits
Flexible Paid Time Off
Company-wide Seasonal Breaks
Flexible Work Arrangements
Equity Participation
Performance-based Incentives

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

Large Quantitative Models
LQM
Agentic Frameworks
MLOps
Weights & Biases
MLflow
GCP
AWS
PyTorch
TensorFlow
JAX
Python
SaaS
MVP
Data Pipelines
Hyper-parameter Tuning
Model Architecture
CI/CD
Version Control
Financial Simulation
Risk Simulation
Scalable Systems
AI Generation Engine
Feature Engineering
Predictive Accuracy

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